#Exadata

[alcrego]

Exadata

Part of 'Whispers and Closed doors' exhibition by AOTM Gallery past June.

[govindhtech]

Top Oracle Exadata Databases Run Faster On AMD EPYC CPUs

The best databases in the world perform better on AMD EPYC processors.

Oracle Exadata

They at AMD think that their EPYC processors are the finest data center CPUs available. Their clients concur. EPYC processors have become widely used, as shown by the fact that they run the Frontier system at Oak Ridge National Laboratory, the most powerful supercomputer in the world, and that they are used in over 800 public cloud instances across all major cloud service providers. Businesses are using more and more EPYC CPUs to power their on-premise infrastructures across all business verticals.

Indeed, AMD EPYC now holds over 300 world records for efficiency and performance, both on-site and in the cloud. However, did you realize that data management and analytics account for more than 50 of those records? This indicates that AMD EPYC is the best option available for processing the most important and fundamental business tasks in the globe.

The two databases that big businesses use the most often are Oracle and Microsoft SQL Server. AMD’s 4th Gen EPYC CPUs provide impressive performance whether you’re using Microsoft SQL Server or the Oracle Exadata Database Platform. First, let’s examine the Oracle Exadata platform to understand how AMD EPYC has contributed to the advancement of database computing.

The Database Platform for Oracle Exadata

Managing workloads for Oracle Exadata databases is a major endeavor. Exadata offers real-time vector search capabilities, analytics, and fast transaction processing. Tasks that are vital to the mission may be handled by the Exadata system. These workloads allow for the instantaneous completion of online financial transactions while instantly detecting fraudulent activity. These database workloads help carriers maintain their networks and keep up with the increasing needs of the worldwide 5G network. They also keep the internet transactions flowing, particularly during the peak shopping seasons of Cyber Monday and Single’s Day.

Oracle developed the Oracle Exadata Database Platform to provide performance, scalability, availability, and security while supporting these workloads. This platform, which includes hardware, software, and an Oracle database, is simple to set up.

Oracle made a significant shift in 2023 after depending on Intel CPUs for years to power the Oracle Exadata Database Platform. Oracle decided to employ the 4th generation AMD EPYC CPU (previously code-named “Genoa”) in the most recent version X10M Exadata system in order to achieve better performance and energy efficiency.

Exadata Oracle

Think about the impact that EPYC CPUs have: Compared to the preceding Exadata X9M-2 system, the Exadata X10M Database Platform features three times more database server cores per socket from 32 to 96 cores thanks to AMD EPYC CPUs. More EPYC CPU cores simply translate into more database transactions and quicker analytics when combined with Oracle’s optimized software.

Meanwhile, the dual-socket X10M Database server can now tackle tasks that previously needed pricey and power-hungry 8-socket servers thanks to its remarkable core count. An organization may recover precious space in the data center and save energy by using fewer, smaller servers to do the same tasks.

X10M Database server

In order to ensure that database performance grows linearly with a core count of up to 192 per Database Server (2 X 96 core CPUs), AMD and Oracle worked together to enhance the performance of the new Exadata X10M server. Exadata system software, on the other hand, can encrypt and decrypt data quicker than other components can get it to the chip thanks to the 4th generation AMD EPYC CPU. Furthermore, the Exadata system software was tailored to take full use of AMD EPYC’s reliability, availability, and serviceability (RAS) features. One example of this is Platform First Error Handling, which improves the uptime of workloads related to key databases.

Microsoft SQL Server

Let’s now examine Microsoft SQL Server and see how AMD EPYC leads the industry in database transaction processing speed. Businesses often utilize the TPC (Transaction Processing Performance Council) benchmarks to assess processor performance as well as the overall performance of server systems. To guarantee the validity of the benchmark test findings, TPC.org has an audited library of benchmarks. Let’s examine two widely used TPC benchmarks to assess database performance: TPC-E and TPC-H.

Decision support systems that analyze vast amounts of data, carry out intricate queries, and respond to important business inquiries are evaluated using the TPC-H benchmark. According to this test, the best performance the most queries per hour is achieved by a non-clustered system running Microsoft SQL Server 2022 on a 64-core 4th Gen AMD EPYC CPU. Performance on the AMD-based system is 14% better than that of a system powered by the most recent 5th Gen Intel Xeon 8592+. To put it another way, the firm can evaluate data considerably more quickly and get business outcomes since there are 14% more inquiries answered in an hour.

The findings shown above pertain to a database with a 10TB size. Furthermore, the TPC-H findings show that AMD EPYC powered systems also provide the best non clustered performance for 3 TB (EPYCWR-869) and 1 TB databases (EPYCWR-865).

In the meanwhile, online transaction processing (OLTP) is measured by the TPC-E benchmark. There are twelve simultaneous transactions of varying kinds and complexity involved. Either online or time- or price-based criteria are used to initiate the transactions.

Once again, while running Microsoft SQL Server 2022, the AMD-based system achieves the greatest performance for a non-clustered server on the TPC-E benchmark. When compared to a system using a 5th generation Intel Xeon CPU, the system built around the 4th generation AMD EPYC processor performs 7% better.

In summary

AMD has shown that its EPYC CPUs provide the greatest performance available on the market when used with Microsoft SQL Server and Oracle Exadata databases. It is not worth taking shortcuts when it comes to organizing and evaluating data that is essential to the continuous operation of your organization.

AMD continues to set the standard in the server industry with the upcoming release of 5th Gen EPYC CPUs. For the highest database workloads, AMD’s unrivaled 4th Gen EPYC CPUs are the obvious option for the finest database performance in the interim.

Read more on Govindhtech.com

[sandeep2363]

Check the Oracle database is Exadata

How do you check that the Oracle database is running on Exadata? From the v$cell view, we can check whether the Oracle database is running as Exadata. For checking we have to run the following command in SQLPLUS: select decode(count(cell_path),0,'Non-Exadata','Exadata') "System" from v$cell;

[itsjustbytes]

Exadata X8M: Updating KSplice

There are several bugs that ksplice patches fix in Exadata. In our case it was a login issue. It would not allow you to ssh or login via serial console, not good. We installed the ksplice patch on all the nodes per Oracle. Although it is documented it is across a couple links so here is what I had to do: Checking for a specific fix In my case I cam looking for a specific bug that is related to…

[nisatraining1]

[differenttimemachinecrusade]

Data Center Construction Market Demand Outlook: Size, Share, and Industry Forecast 2032

TheData Center Construction Market Size was valued at USD 219.02 Billion in 2023 and is expected to reach USD 388.92 Billion by 2032 and grow at a CAGR of 6.7% over the forecast period 2024-2032.

the global data center construction market into a phase of unprecedented growth. Enterprises across sectors are modernizing their IT capabilities, and as a result, data centers are being built or upgraded with high-performance servers, advanced cooling systems, and energy-efficient technologies. The rise in internet users, coupled with the digital transformation initiatives of governments and corporations, has created a strong need for scalable, secure, and high-capacity data storage facilities.

Data center construction market development is also being shaped by the increasing adoption of hybrid cloud strategies, edge computing, and the demand for low-latency processing power. Hyperscale data center operators, colocation service providers, and telecom players are investing heavily in large-scale infrastructure projects. With sustainability now a core priority, green building certifications, renewable energy sourcing, and modular designs are becoming central to new construction efforts. This market is poised to grow steadily as digital ecosystems expand and next-generation technologies like 5G, IoT, and machine learning drive data requirements to new heights.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5464 

Market Keyplayers:

Acer Inc. (Acer Server Systems, Acer Storage Solutions)

Cisco Systems, Inc. (Cisco Data Center Network Switches, Cisco Data Center Interconnect Solutions)

Dell Inc. (Dell EMC PowerEdge Servers, Dell EMC Storage Solutions)

Fujitsu (Fujitsu PRIMERGY Servers, Fujitsu Storage Solutions)

Hewlett Packard Enterprise Development LP (HPE Synergy, HPE Apollo Servers)

Huawei Technologies Co., Ltd. (Huawei FusionServer, Huawei OceanStor Storage)

IBM (IBM Power Systems, IBM Storage Solutions)

Lenovo (Lenovo ThinkSystem Servers, Lenovo Storage Solutions)

Oracle (Oracle Exadata Database Machine, Oracle ZFS Storage)

INSPUR Co., Ltd. (INSPUR Servers, INSPUR Storage Solutions)

Ascenty (Ascenty Data Center Facilities, Ascenty Colocation Services)

ABB (ABB Data Center Power Distribution, ABB Data Center Cooling Solutions)

Hitachi, Ltd. (Hitachi Data Systems, Hitachi Storage Solutions)

Equinix, Inc. (Equinix Data Center Facilities, Equinix Colocation Services)

Gensler (Data Center Design and Architecture Services, Data Center Construction Management)

Schneider Electric (Schneider Electric Data Center Infrastructure, Schneider Electric Data Center Cooling Solutions)

HostDime Global Corp. (HostDime Data Center Facilities, HostDime Colocation Services)

IPXON Networks (IPXON Data Center Facilities, IPXON Colocation Services)

KIO (KIO Data Center Facilities, KIO Colocation Services)

Vertiv Group Corp. (Vertiv Liebert Data Center Infrastructure, Vertiv Geist Data Center Cooling Solutions)

Trends Shaping the Market

The data center construction market is experiencing several key trends that are transforming how facilities are designed, built, and operated:

1. Rise of Hyperscale and Modular Data Centers

Hyperscale data centers, built by major tech firms like Amazon, Microsoft, and Google, are driving significant growth. These massive facilities support cloud services at scale and require rapid deployment, which is being facilitated by modular construction techniques. Modular designs allow for quicker installation, greater scalability, and reduced on-site labor costs.

2. Green and Sustainable Construction

Environmental sustainability is now a core consideration in new data center projects. There is a growing emphasis on using renewable energy, energy-efficient power and cooling systems, and sustainable building materials. Certification programs like LEED (Leadership in Energy and Environmental Design) are influencing construction practices, with many firms targeting carbon neutrality.

3. Edge Data Centers and 5G Rollout

The rollout of 5G networks is catalyzing the growth of edge data centers—small facilities located close to end-users to reduce latency and improve data delivery speed. This decentralization trend is reshaping the market, with micro data centers becoming more common in urban and rural areas to support real-time applications.

4. Automation and Smart Infrastructure

AI and machine learning are being integrated into facility management systems, enabling predictive maintenance, automated energy optimization, and enhanced security. Smart data centers are emerging, where IoT sensors, robotics, and digital twins help monitor and manage physical and digital infrastructure more efficiently.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5464 

Market Segmentation:

By Infrastructure Type

IT Infrastructure

Networking Equipment

Server

Storage

PD & Cooling Infrastructure

Power Distribution

Cooling

Miscellaneous Infrastructure

By Tier Type

Tier 1

Tier 2

Tier 3

Tier 4

By Vertical Type

IT & Telecom

BFSI

Government & Defense

Healthcare

Energy

Market Analysis and Forecast

The global data center construction market is projected to grow significantly, with an estimated CAGR of over 7% through 2032. Factors contributing to this growth include rising digital content consumption, increasing enterprise IT workloads, and stringent data sovereignty regulations that encourage local data center development. The market includes several segments such as electrical infrastructure (UPS systems, generators), mechanical systems (HVAC, cooling units), and general construction (racks, flooring, physical security systems).

North America remains a dominant region due to high cloud adoption rates, presence of global tech giants, and early investment in digital infrastructure. However, the Asia-Pacific region is rapidly catching up, with countries like India, China, and Singapore becoming data center hubs due to their strategic locations, favorable government policies, and booming digital economies. Europe is also showing robust growth, especially with demand for GDPR-compliant facilities.

Investments are pouring in from both public and private sectors, with tech companies, telecom providers, and real estate developers forming strategic alliances. In addition, government-backed initiatives for smart cities and digital infrastructure are expected to create new opportunities in developing regions over the next decade.

Future Prospects

Looking ahead, the data center construction market is expected to evolve in tandem with emerging technologies. The proliferation of AI workloads and machine learning models will drive the need for high-density, high-performance computing environments. Liquid cooling and immersion cooling technologies are expected to gain traction as power and thermal management becomes more critical.

The shift to software-defined data centers (SDDCs), which use virtualization and automation to manage hardware, will influence design priorities. Data security and physical infrastructure resilience will also remain key, especially in regions prone to natural disasters or geopolitical instability.

Furthermore, the trend toward decentralization will likely continue, with increased investment in edge computing infrastructure to support IoT, autonomous vehicles, telemedicine, and smart manufacturing. As organizations prioritize low-latency, localized data processing, demand for smaller, regional data centers will rise.

Access Complete Report: https://www.snsinsider.com/reports/data-center-construction-market-5464 

Conclusion

The data center construction market is entering a transformative phase, driven by digital acceleration, sustainability concerns, and technological innovation. As the global demand for data storage and processing continues to grow, the industry is expected to witness steady expansion, marked by strategic investments, regulatory support, and architectural advancements. Organizations and developers that align with emerging trends and prioritize efficiency, scalability, and environmental responsibility will be best positioned to thrive in this evolving landscape.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[qhsetools2022]

Oracle and Microsoft roll out Azure database services • The Register

Oracle is expanding its database services on hyperscale clouds outside of its muscle-car Exadata system. Earlier today, Microsoft said it plans to expand Oracle Database@Azure running on OCI (Oracle Cloud Infrastructure) in Azure datacenters to include Oracle Database Enterprise Edition and Standard Edition 2 versions of 19c and 23ai on virtual machines. This includes automated database lifecycle…

[aiminds]

Data Warehouses play a critical role in Big Data analytics by enabling businesses to store, process, and analyze vast amounts of data efficiently. With solutions like Amazon Redshift, Snowflake, Google BigQuery, and Oracle Exadata, organizations can gain valuable insights, improve decision-making, and stay competitive in data-driven industries.

As the volume of Big Data continues to grow, leveraging a robust Data Warehouse is essential for businesses looking to harness the full potential of their data assets. Whether in retail, finance, healthcare, telecommunications, or entertainment, Data Warehouses empower organizations to turn data into actionable insights for innovation and growth.

(via Data Warehouses in Big Data: A Comprehensive Guide)

[alcrego]

We fear a machine that we feed ourselves, most times unconsciously, that later commands us what to do, what to think, what to feel. And all just with light.▫️

·Exadata· (detail)

18 June, AOTM Gallery.

[learning-code-ficusoft]

Introduction to Data Lakes and Data Warehouses

Introduction

Businesses generate vast amounts of data from various sources.

Understanding Data Lakes and Data Warehouses is crucial for effective data management.

This blog explores differences, use cases, and when to choose each approach.

1. What is a Data Lake?

A data lake is a centralized repository that stores structured, semi-structured, and unstructured data.

Stores raw data without predefined schema.

Supports big data processing and real-time analytics.

1.1 Key Features of Data Lakes

Scalability: Can store vast amounts of data.

Flexibility: Supports multiple data types (JSON, CSV, images, videos).

Cost-effective: Uses low-cost storage solutions.

Supports Advanced Analytics: Enables machine learning and AI applications.

1.2 Technologies Used in Data Lakes

Cloud-based solutions: AWS S3, Azure Data Lake Storage, Google Cloud Storage.

Processing engines: Apache Spark, Hadoop, Databricks.

Query engines: Presto, Trino, Amazon Athena.

1.3 Data Lake Use Cases

✅ Machine Learning & AI: Data scientists can process raw data for model training. ✅ IoT & Sensor Data Processing: Real-time storage and analysis of IoT device data. ✅ Log Analytics: Storing and analyzing logs from applications and systems.

2. What is a Data Warehouse?

A data warehouse is a structured repository optimized for querying and reporting.

Uses schema-on-write (structured data stored in predefined schemas).

Designed for business intelligence (BI) and analytics.

2.1 Key Features of Data Warehouses

Optimized for Queries: Structured format ensures faster analysis.

Supports Business Intelligence: Designed for dashboards and reporting.

ETL Process: Data is transformed before loading.

High Performance: Uses indexing and partitioning for fast queries.

2.2 Technologies Used in Data Warehouses

Cloud-based solutions: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse.

Traditional databases: Teradata, Oracle Exadata.

ETL Tools: Apache Nifi, AWS Glue, Talend.

2.3 Data Warehouse Use Cases

✅ Enterprise Reporting: Analyzing sales, finance, and marketing data. ✅ Fraud Detection: Banks use structured data to detect anomalies. ✅ Customer Segmentation: Retailers analyze customer behavior for personalized marketing.

3. Key Differences Between Data Lakes and Data Warehouses

4. Choosing Between a Data Lake and Data Warehouse

Use a Data Lake When:

You have raw, unstructured, or semi-structured data.

You need machine learning, IoT, or big data analytics.

You want low-cost, scalable storage.

Use a Data Warehouse When:

You need fast queries and structured data.

Your focus is on business intelligence (BI) and reporting.

You require data governance and compliance.

5. The Modern Approach: Data Lakehouse

Combines benefits of Data Lakes and Data Warehouses.

Provides structured querying with flexible storage.

Popular solutions: Databricks Lakehouse, Snowflake, Apache Iceberg.

Conclusion

Data Lakes are best for raw data and big data analytics.

Data Warehouses are ideal for structured data and business reporting.

Hybrid solutions (Lakehouses) are emerging to bridge the gap.

WEBSITE: https://www.ficusoft.in/data-science-course-in-chennai/

[santecky2]

What Oracle Skills Are Currently In High Demand?

Introduction

Oracle technologies dominate the enterprise software landscape, with businesses worldwide relying on Oracle databases, cloud solutions, and applications to manage their data and operations. As a result, professionals with Oracle expertise are in high demand. Whether you are an aspiring Oracle professional or looking to upgrade your skills, understanding the most sought-after Oracle competencies can enhance your career prospects. Here are the top Oracle skills currently in high demand.

Oracle Database Administration (DBA)

Oracle Database Administrators (DBAs) are crucial in managing and maintaining Oracle databases. Unlock the world of database management with our Oracle Training in Chennai at Infycle Technologies. Organizations seek professionals to ensure optimal database performance, security, and availability. Key skills in demand include:

Database installation, configuration, and upgrades

Performance tuning and optimization

Backup and recovery strategies using RMAN

High-availability solutions such as Oracle RAC (Real Application Clusters)

Security management, including user access control and encryption

SQL and PL/SQL programming for database development

Oracle Cloud Infrastructure (OCI)

With businesses rapidly moving to the cloud, Oracle Cloud Infrastructure (OCI) has become a preferred choice for many enterprises. Professionals skilled in OCI can help organizations deploy, manage, and optimize cloud environments. Key areas of expertise include:

Oracle Cloud Architecture and Networking

OCI Compute, Storage, and Database services

Identity and Access Management (IAM)

Oracle Kubernetes Engine (OKE)

Security Best Practices and Compliance in Cloud Environments

Migration strategies from on-premises databases to OCI

Oracle SQL And PL/SQL Development

Oracle SQL and PL/SQL are fundamental database developers, analysts, and administrators skills. Companies need professionals who can:

Write efficient SQL queries for data retrieval & manipulation

Develop PL/SQL procedures, triggers, and packages

Optimize database performance with indexing and query tuning

Work with advanced SQL analytics functions and data modelling

Implement automation using PL/SQL scripts

Oracle ERP And E-Business Suite (EBS)

Enterprise Resource Planning (ERP) solutions from Oracle, such as Oracle E-Business Suite (EBS) and Oracle Fusion Cloud ERP, are widely used by organizations to manage business operations. Professionals with rising experience in these areas are highly sought after. Essential skills include:

ERP implementation and customization

Oracle Financials, HRMS, and Supply Chain modules

Oracle Workflow and Business Process Management

Reporting and analytics using Oracle BI Publisher

Integration with third-party applications

Oracle Fusion Middleware

Oracle Fusion Middleware is a comprehensive software suite that facilitates application integration, business process automation, and security. Professionals with experience in:

Oracle WebLogic Server administration

Oracle SOA Suite (Service-Oriented Architecture)

Oracle Identity and Access Management (IAM)

Oracle Data Integration and ETL tools

The job market highly values Java EE and Oracle Application Development Framework (ADF).

Oracle BI (Business Intelligence) And Analytics

Data-driven decision-making is critical for modern businesses, and Oracle Business Intelligence (BI) solutions help organizations derive insights from their data. In-demand skills include:

Oracle BI Enterprise Edition (OBIEE)

Oracle Analytics Cloud (OAC)

Data warehousing concepts and ETL processes

Oracle Data Visualization and Dashboarding

Advanced analytics using machine learning and AI tools within Oracle BI

Oracle Exadata And Performance Tuning

Oracle Exadata is a high-performance engineered system designed for large-scale database workloads. Professionals skilled in Oracle Exadata and performance tuning are in great demand. Essential competencies include:

Exadata architecture and configuration

Smart Flash Cache and Hybrid Columnar Compression (HCC)

Exadata performance tuning techniques

Storage indexing and SQL query optimization

Integration with Oracle Cloud for hybrid cloud environments

Oracle Security And Compliance

Organizations need Oracle professionals to ensure database and application security with increasing cybersecurity threats. Key security-related Oracle skills include:

Oracle Data Safe and Database Security Best Practices

Oracle Audit Vault and Database Firewall

Role-based access control (RBAC) implementation

Encryption and Data Masking techniques

Compliance with regulations like GDPR and HIPAA

Oracle DevOps And Automation

DevOps practices have become essential for modern software development and IT operations. Enhance your journey toward a successful career in software development with Infycle Technologies, the Best Software Training Institute in Chennai. Oracle professionals with DevOps expertise are highly valued for their ability to automate processes and ensure continuous integration and deployment (CI/CD). Relevant skills include:

Oracle Cloud DevOps tools and automation frameworks

Terraform for Oracle Cloud Infrastructure provisioning

CI/CD pipeline implementation using Jenkins and GitHub Actions

Infrastructure as Code (IaC) practices with Oracle Cloud

Monitoring and logging using Oracle Cloud Observability tools

Oracle AI And Machine Learning Integration

Artificial intelligence (AI) and machine learning (ML) are transforming businesses' operations, and Oracle has integrated AI/ML capabilities into its products. Professionals with expertise in:

Oracle Machine Learning (OML) for databases

AI-driven analytics in Oracle Analytics Cloud

Chatbots and AI-powered automation using Oracle Digital Assistant

Data Science and Big Data processing with Oracle Cloud are highly demanding for data-driven decision-making roles.

Conclusion

The demand for Oracle professionals grows as businesses leverage Oracle's powerful database, cloud, and enterprise solutions. Whether you are a database administrator, cloud engineer, developer, or security expert, acquiring the right Oracle skills can enhance your career opportunities and keep you ahead in the competitive job market. You can position yourself as a valuable asset in the IT industry by focusing on high-demand skills such as Oracle Cloud Infrastructure, database administration, ERP solutions, and AI/ML integration. If you want to become an expert in Oracle technologies, consider enrolling in Oracle certification programs, attending workshops, and gaining hands-on experience to strengthen your skill set and stay ahead in the industry.

[exhydra]

Why Oracle Exadata is the Game-Changer Your Business Needs Right Now!

In a world where data is the backbone of innovation, Oracle Exadata is the rocket fuel that can launch your business into the future. If you’ve ever faced performance bottlenecks, cloud migration headaches, or security concerns in your data management strategy, then it’s time to meet your new best friend. What is Oracle Exadata, and Why Should You Care? Oracle Exadata isn’t just another…

[oraclecourse]

Oracle Cloud Infrastructure Training Ameerpet | visualpath

Oracle Cloud Infrastructure for Beginners

Oracle Cloud Infrastructure is a powerful cloud computing platform that offers a wide range of services, including computing, storage, networking, and security. Designed to support businesses of all sizes, OCI provides high-performance computing capabilities, cost-effective solutions, and robust security measures. This article serves as a beginner's guide to understanding OCI, its key features, and how to get started.

What is Oracle Cloud Infrastructure?

Oracle Cloud Infrastructure (OCI) is Oracle’s cloud computing service, offering Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) solutions. It provides the necessary tools and services to build, deploy, and manage applications and workloads in the cloud efficiently.

Key Features of Oracle Cloud Infrastructure

1. Compute Services

OCI offers scalable virtual machines (VMs) and bare metal instances to support various workloads, from basic applications to high-performance computing. OCI Online Certification Course

2. Storage Solutions

OCI provides multiple storage options, including Block Storage, Object Storage, and File Storage, ensuring high availability and data security.

3. Networking Capabilities

OCI’s networking solutions include Virtual Cloud Networks (VCNs), Load Balancers, and FastConnect, allowing businesses to create secure and efficient network infrastructures.

4. Security and Compliance

With built-in security features such as identity and access management (IAM), data encryption, and threat detection, OCI ensures the safety and compliance of cloud resources.

5. Database Services

OCI offers managed database services, including Oracle Autonomous Database, Oracle MySQL HeatWave, and Oracle Exadata Cloud Service, providing high performance and automation.

Benefits of Using Oracle Cloud Infrastructure

Cost-Effective: OCI offers competitive pricing with flexible billing options, making it an affordable solution for businesses.

High Performance: With powerful computing resources, OCI ensures optimal performance for applications and workloads.

Scalability: Businesses can scale their resources up or down based on demand, ensuring efficiency and cost savings. Oracle Cloud Infrastructure Training

Robust Security: OCI includes advanced security features such as encryption, access control, and continuous monitoring to protect data.

Global Reach: With multiple data centers worldwide, OCI provides low-latency access and disaster recovery solutions.

How to Get Started with OCI

1. Sign Up for an Oracle Cloud Account

New users can sign up for an Oracle Cloud account and take advantage of the Free Tier, which includes free compute, storage, and database services.

2. Set Up a Virtual Cloud Network (VCN)

Creating a VCN allows you to define network resources, including subnets, gateways, and security lists, ensuring a secure environment for your workloads.

3. Deploy a Compute Instance

Using the Oracle Cloud Console, users can create and launch virtual machines (VMs) with the required configurations.

4. Configure Storage and Database Services

Depending on your requirements, you can choose from different storage solutions and set up a database to manage your data efficiently.

5. Monitor and Optimize Your Resources

OCI provides monitoring and analytics tools to track performance, manage costs, and ensure security.

Conclusion

OCI Online Certification Course is a reliable and scalable cloud platform designed for businesses looking for high-performance computing, secure storage, and efficient networking. Whether you're a beginner exploring cloud computing or an enterprise migrating workloads, OCI provides a comprehensive suite of services to meet your needs. By following the steps outlined in this guide, you can start leveraging OCI’s capabilities and unlock the potential of cloud computing for your business.

Visualpath is the Leading and Best Software Online Training Institute in Hyderabad.

For More Information about Oracle Cloud Infrastructure TrainingContact Call/WhatsApp: +91-7032290546Visit: https://www.visualpath.in/oracle-cloud-infrastructure-online-training.html

[furniturfusion]

Oracle Server Rental in Bangalore|Storage Server on Rental in Bangalore|Cisco Server Leasing in Bangalore

Are you offering Oracle server rentals, or are you looking to rent Oracle servers for your business?

If you're providing Oracle server rental services, here's how you can structure your offerings:

Oracle Server Rental Solutions

1. Entry-Level & Mid-Range Oracle Servers (For SMBs & Application Hosting)

✅ Oracle SPARC T8-1 – Ideal for database applications & cloud hosting. ✅ Oracle SPARC T7-1 – Strong security & performance for medium workloads. ✅ Oracle X8-2/X9-2 – Best for virtualization & business applications.

2. High-Performance Enterprise Servers (For AI, ML, Big Data & Mission-Critical Workloads)

✅ Oracle SPARC M8 – Extreme performance for high-end enterprise apps. ✅ Oracle Exadata X9M – Optimized for high-speed databases & analytics. ✅ Oracle Private Cloud Appliance – Ideal for cloud & hybrid IT environments.